DRMM. [1]} mention three factors in relevance matching: exact matching signals, query term importance, and diverse matching requirements, and design the architecture of their deep matching model (DRMM) accordingly. DRMM first builds interactions between pairs of words from a query and a document, and subsequently creates a fixed-length matching histogram for each query term. Next, the model employs a feed forward network to produce a matching score, and calculates the final score by a weighted aggregation of the scores of the query terms.
